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59 search results found
Keras Gan
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8,842
Keras implementations of Generative Adversarial Networks.
Capsnet Tensorflow
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3,678
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
Alae
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2,850
[CVPR2020] Adversarial Latent Autoencoders
Capsule Networks
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1,419
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Rgan
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413
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Capsnet Pytorch
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409
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
Dec
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289
Pytorch Classification Uncertainty
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235
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Iwae
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188
Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
Fitting Random Labels
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118
Example code for the paper "Understanding deep learning requires rethinking generalization"
Deep Svdd
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116
Repository for the Deep One-Class Classification ICML 2018 paper
Lsoftmax Pytorch
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110
The Pytorch Implementation of L-Softmax
Mechanical Fault Diagnosis Based On Deep Learning
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97
CNN for mechanical fault diagnosis
Tnml
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97
Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775
Capsnet Pytorch
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94
Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`
Convgp
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77
Convolutional Gaussian processes based on GPflow.
Wgan Gp Anomaly
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73
gan, wgan-gp, anomaly detection, unsupervised, pytorch
Generative Moment Matching Networks
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57
Y Ae
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48
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding"
Sesn
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47
Code for "Scale-Equivariant Steerable Networks"
Learningwithoutforgetting
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47
Repository for the Learning without Forgetting paper, ECCV 2016
Lg Fedavg
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46
Federated Learning with Local and Global Representations
Roteqnet
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43
Rotational Equivariant Networks for PyTorch/Python
Memorygan
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42
Repository for our ICLR 2018 paper: memoryGAN
Openset Da
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41
Code for 'Open Set Domain Adaptation by Backpropagation'
Brian2stdpmnist
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41
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
Ghostnet_tf2
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30
An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")
Sadl
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30
Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
Mnist Multitask
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26
6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Lottery_ticket_hypothesis Tensorflow_2
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25
Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"
Multitask Learning
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24
MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla
Wgan Gp Anomaly
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23
gan, wgan-gp, anomaly detection, unsupervised, pytorch
Bayesian Compression For Deep Learning
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23
Remplementation of paper https://arxiv.org/abs/1705.08665
Factors Variation
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22
Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprechmann and LeCun
Lenet From Scratch
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22
Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.
Metasgmcmc
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22
The code for Meta Learning for SGMCMC
Spacesheet
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19
Binding
⭐
19
Code for the "Binding via Reconstruction Clustering" paper
Deepnetworks
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17
My implementations of deep neural networks for practice.
Flatgan
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16
PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"
Dnn Datadependentactivation
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15
The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
The Incredible Tensorflow
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14
The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
Gan Tutorial
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13
GAN의 튜토리얼
Curriculum Dropout
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13
Code for the paper "Curriculum Dropout", ICCV 2017
Splitnn_fsha
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13
Uivi
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12
Code for Unbiased Implicit Variational Inference (UIVI)
Learning Class Invariant Features
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11
Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
Dac
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11
Deep Adaptive Image Clustering Paper Implementation
Gacluster
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11
Graph Agglomerative Clustering Library
Sa_dnn
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10
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
Gantree
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9
Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019
Coegan
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9
Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org
Multiple Gan Tensorflow Mnist
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8
Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.
Model Targeted Poisoning
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8
code for model-targeted poisoning
Challenges In Disentangling
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8
This repository contains a pytorch implementation for the paper: Challenges in Disentangling Independent Factors of Variation (https://arxiv.org/abs/1711.02245), which was accepted at ICLR 2018's workshop track.
Borderpeelingclustering
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8
Python Implementation of Border-Peeling clustering
Twin Networks For Sequence Generation
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7
ICLR 2018 Reproducibility Challenge: Paper - "Twin Networks: Matching the Future for Sequence Generation"
B Lrp
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6
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
Caffe Capsnet
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5
CapsNets built on CAFFE
Lsat
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5
"Least Squares Auto-Tuning" paper repository
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